CN110022349B - Heterogeneous industrial network device configuration micro-service method based on edge calculation - Google Patents
Heterogeneous industrial network device configuration micro-service method based on edge calculation Download PDFInfo
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Abstract
The invention relates to a heterogeneous industrial network device configuration micro-service method based on edge computing, and belongs to the technical field of industrial networks. According to the invention, the edge computing model is applied to the configuration service of the heterogeneous industrial network equipment, and according to different conditions of received data, the data can be directly processed locally, and can also be stored and analyzed in the cloud center. After the data is processed, the results of historical data curves, control strategies, parameter optimization and the like are returned, and the control strategies are dynamically adjusted. The configuration service is decomposed into the combination of micro service modules with different functions by utilizing the service componentization and platform independence of the micro service. The micro service modules communicate with each other through a given interface, and message transmission is carried out in a publishing/subscribing mode. The invention reduces the consumption of bandwidth resources, shortens the response time, reduces the difficulty of communication between heterogeneous devices, improves the efficiency of establishing the configuration service between the heterogeneous devices, and is effectively suitable for the configuration service between the heterogeneous devices of different operation platforms.
Description
Technical Field
The invention belongs to the technical field of industrial networks, and relates to a heterogeneous industrial network device configuration micro-service method based on edge computing.
Background
With the vigorous development of the internet of things and cloud computing, a computing model, namely edge computing, for solving the development dilemma of the internet of things and the cloud computing appears. The edge calculation promotes the rapid development of the internet of things industry and provides a solid technical support for the interconnection of everything in the future. The edge computing is a computing model which is deployed at the edge side (edge node) of a network, is close to a data source, comprises core capabilities such as network, computing, storage, application and the like, and provides real-time intelligent processing nearby. The edge node is any device which is arranged between a data generation source and the cloud center, has computing resources and network resources and is close to the data source. The task processing of the edge calculation is initiated by the edge node at the network edge side, and the edge node completes the processing and analysis work of partial data, thereby generating faster service response; if the data exceeds the processing capacity of the edge node, the data needs to be uploaded to the cloud end for processing and a result is returned, so that the edge cloud cooperation effect is achieved, and the requirement of a factory on real-time response of a data task is met.
Micro Service (Microservice) is relative to an SOA (Service Oriented Architecture), is evolved from the SOA essentially, not only has the advantages of the SOA, but also develops unique characteristics of the Microservice, and is better than the SOA. A microservice is a service design architecture that uses the RESTful (Representational State Transfer) style, for example, a large software application may also be composed of multiple microservices. Each micro service in a system can be independently deployed, the micro services are loosely coupled, communication is carried out between micro service modules by calling RESTful API (application programming interface), and each micro service is dedicated to a task and well completes the task. A microservice module handles a task and represents a small business capability, thus reducing the difficulty of achieving plug-and-play and interoperability of the microservice module. The realization of the micro service has no binding relation with a specific technology and a platform, and a specific realization scheme can be selected according to business requirements. The expansibility of the micro-service architecture is strong, and the cross-platform deployment and application of the service are simple.
At present, with the rapid development of the internet of things industry, some related technologies of the internet of things are also applied to the field of industrial automatic control. Before applying the related technology of the internet of things industry in the field of industrial automatic Control, the device is managed and controlled by using a configuration, and data transmission is performed by using an OPC (object Linking and embedding) for Process Control (OLE) technology. OPC is an industry standard developed based on OLE (Active X, today), COM (Component Object Model) and DCOM (Distributed Component Object Model) technologies. Because of the dependence of OPC technology and most configuration software on Windows platforms, direct application on non-Windows platforms is difficult, and the cross-platform performance and the expandability of the non-Windows platforms are limited. In view of this, it is difficult to implement cross-platform and cross-heterogeneous network device configuration services and data sharing by using the OPC-based configuration method. Therefore, the invention provides a heterogeneous industrial network device configuration micro-service method based on edge computing, aiming at reducing the difficulty of establishing the configuration between cross-platform heterogeneous network devices, simplifying the configuration service flow, realizing the grading processing of real-time data, shortening the development period of the configuration service and reducing the response delay.
Disclosure of Invention
In view of the above, the present invention provides a heterogeneous industrial network device configuration micro-service method based on edge computing, and belongs to the technical field of industrial networks. According to the invention, the edge computing model is applied to the configuration service of the heterogeneous industrial network equipment, and according to different conditions of received data, the data can be directly processed locally, and can also be stored and analyzed in the cloud center, so that the data can be processed in a grading manner. After the data is processed, results such as historical data curves, control strategies, parameter optimization and the like are returned, and then the control strategies can be dynamically adjusted. The method utilizes the service componentization and platform independence of the micro-service to decompose the configuration service into the combination of micro-service modules with different functions. The micro service modules communicate with each other through a given interface, and message transmission is carried out in a publishing/subscribing mode. The invention can reduce the consumption of bandwidth resources, shorten the response time, reduce the difficulty of communication between heterogeneous devices, improve the efficiency of establishing the configuration service between the heterogeneous devices, and can be effectively suitable for the configuration service between the heterogeneous devices of different operation platforms.
In order to achieve the purpose, the invention provides the following technical scheme:
a heterogeneous industrial network device configuration micro-service method based on edge computing comprises the following steps:
s1: converting data transmitted by the equipment into an internal uniform data format through a corresponding protocol adaptation microservice in a protocol adaptation layer;
s2: the equipment metadata micro service acquires equipment information from the corresponding protocol adaptation micro service, registers the equipment in the equipment metadata micro service and generates a unique equipment ID;
s3: the data persistence micro-service stores the equipment information, processes and persistently stores the received data in real time, and provides a unique data access port for other micro-services;
s4: the strategy triggering micro-service determines whether the data is directly processed locally or transmitted to a cloud terminal for processing through a message distribution layer according to a pre-configured control strategy;
s5: the cloud end stores and analyzes the historical data of the equipment, returns results which comprise historical data curves, control strategies and parameter optimization, and returns processing results to corresponding micro-services through the message distribution layer;
s6: the strategy triggering micro-service monitors the equipment data in real time by subscribing the information of the corresponding micro-service, if the requirement of the pre-configured control strategy is met, the corresponding action is triggered, a command is sent to the command micro-service, and then the establishment of the configuration service among the equipment is started, otherwise, the data is continuously monitored, and the strategy control micro-service configures the control strategy in the strategy triggering micro-service and takes effect immediately;
s7: the message issuing micro-service judges the received message, if the received message is abnormal, an alarm and a notification micro-service are triggered, so that the message issuing micro-service returns an abnormal message for notification, otherwise, the command operation micro-service makes a corresponding action according to the received command;
s8: the command operation micro service searches whether the given equipment information exists in the data persistence micro service, if not, the information that the equipment does not exist is returned, otherwise, the equipment ID is returned;
s9: the command operation micro service sends the command to be executed to the protocol adaptation layer, and the command is converted into a communication data format used by the corresponding equipment, so that the equipment is driven to execute the corresponding action, and the establishment of the configuration service among the equipment is completed.
Further, the protocol adaptation layer adapts to devices of different communication protocols, and a protocol adaptation microservice corresponds to a device of a communication protocol type, acquires key information in transmission data, including device types, data values acquired by sensors, and actuator actions on or off, and recombines the key information into a new JSON-like data format for unified use.
Furthermore, the micro-service module configures micro-service to monitor the operation status of each micro-service module in real time through a mechanism similar to heartbeat detection, and manages the registration and the uninstallation of the micro-service module.
Further, the strategy triggering micro-service monitors the equipment data in real time by subscribing the information of the corresponding micro-service, if the requirement of the pre-configured control strategy is met, the strategy triggering micro-service triggers the corresponding action and sends a command to the command micro-service so as to start the establishment of the configuration service among the equipment, otherwise, the strategy triggering micro-service continues to monitor the data.
Furthermore, the strategy control micro-service pushes the control strategy generated by the strategy control editor through the message publishing micro-service, and executes the strategy control strategy in the strategy triggering micro-service, thereby achieving the effect of dynamically configuring the control strategy.
Further, under the condition that the data volume does not exceed the local processing capacity or the real-time requirement exists, the equipment data is directly processed locally at the edge node; if the data volume is large enough to exceed the local processing capacity, or no real-time requirement exists, or the data type is the historical data of the equipment, the data is transmitted to a cloud end for processing, and the historical data of the equipment is analyzed at the cloud end, so that a historical data curve and a parameter optimization result are returned.
The invention has the beneficial effects that:
(1) the heterogeneous industrial network device configuration micro-service method provided by the invention applies the edge calculation model to the real-time processing of industrial field device data. Under the condition of small data volume or high real-time requirement, the equipment data is directly processed locally at the edge node; if the data volume is large (exceeding the local processing capacity), the real-time performance is low or the historical data of the equipment is obtained, the data are transmitted to the cloud end to be processed, the historical data of the equipment are analyzed at the cloud end, and therefore results such as a historical data curve and parameter optimization are returned. By the method for processing the equipment data, the quick response to the request is achieved, the bandwidth resource consumption is effectively reduced, and the response time is shortened.
(2) The industrial equipment configuration method provided by the invention utilizes the low coupling and platform independence of the micro-service, so that the connection and control among the equipment are not limited to a single platform or a single type of network any more, and by applying the edge calculation and the micro-service to an industrial field, the difficulty in realizing cross-platform and cross-protocol equipment configuration service can be reduced, and the efficiency and reliability of establishing the configuration service can be improved.
(3) The invention can configure and take effect instantly the equipment control strategy, and realizes dynamic adjustment of the configuration service establishing process; meanwhile, by means of the plug-and-play function of each micro service module, new micro service modules or equipment can be added or reduced at any time.
Drawings
In order to make the object, technical scheme and beneficial effect of the invention more clear, the invention provides the following drawings for explanation:
fig. 1 is a structural diagram of a configuration microservice between heterogeneous network devices according to the present invention;
FIG. 2 is a flow chart of the configuration service establishment between heterogeneous network devices according to the present invention;
FIG. 3 is a timing diagram illustrating the PUT command execution process of the command microservice;
FIG. 4 is a timing diagram illustrating dynamic configuration of a policy control file in a policy triggered microservice;
fig. 5 is an explanatory diagram of a data format of the unified conversion of the device in the heterogeneous industrial network device configuration micro-service method based on edge computing according to the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
A heterogeneous industrial network device configuration micro-service method based on edge computing comprises the following steps:
s1: converting the data transmitted by the equipment into a uniform data format inside the method through a corresponding protocol adaptation microservice in a protocol adaptation layer;
s2: the equipment metadata micro service acquires equipment information from the corresponding protocol adaptation micro service, registers the equipment in the micro service and generates a unique equipment ID;
s3: the data persistence micro-service stores the equipment information, processes and persistently stores the received data in real time, and provides a unique data access port for other micro-services;
s4: the strategy triggering micro-service determines whether the data is directly processed locally or transmitted to a cloud terminal for processing through a message distribution layer according to a pre-configured control strategy;
s5: the cloud end stores and analyzes the historical data of the equipment, returns results such as a historical data curve, a control strategy, parameter optimization and the like, and returns processing results to corresponding micro-services through the message distribution layer;
s6: the strategy triggering micro-service monitors the equipment data in real time by subscribing the information of the corresponding micro-service, if the requirement of the pre-configured control strategy is met, the strategy triggering micro-service triggers the corresponding action and sends a command to the command micro-service so as to start the establishment of the configuration service among the equipment, otherwise, the strategy triggering micro-service continues to monitor the data. The strategy control micro-service can configure and take effect immediately the control strategy in the strategy trigger micro-service;
s7: the message issuing micro-service judges the received message, if the received message is abnormal, an alarm and a notification micro-service are triggered, so that the message issuing micro-service returns an abnormal message for notification, otherwise, the command operation micro-service makes a corresponding action according to the received command;
s8: the command operation micro service searches whether the given equipment information exists in the data persistence micro service by using a GET command, if the given equipment information does not exist, the information that the equipment does not exist is returned, otherwise, the equipment ID is returned;
s9: the command operation micro-service transmits a command to be executed to a protocol adaptation layer by using a PUT command, converts the command into a communication data format used by corresponding equipment, further drives the equipment to execute corresponding actions, and completes the establishment of the configuration service between the equipment.
Optionally, the protocol adaptation layer adapts devices of different communication protocols (one protocol adaptation microservice corresponds to a device of a communication protocol type), acquires key information (for example, device type, data value acquired by a sensor, actuator action on or off, and the like) in transmission data, and recombines the key information into a new json (javascript Object notification) like data format, which is used uniformly in the method.
Optionally, the microservice module configures microservice to monitor the operating status of each microservice module in real time through a mechanism similar to heartbeat detection, and manages registration and uninstallation of the microservice module.
Optionally, the policy-triggered microservice monitors the device data in real time by subscribing to the message of the corresponding microservice, and if a pre-configured control policy requirement (which can be configured dynamically) is met, triggers a corresponding action, sends a command to the command microservice, and starts the establishment of the configuration service between devices, otherwise, continues to monitor the data.
Optionally, the policy control microservice pushes the control policy generated by the policy control editor through the message publishing microservice, and executes the control policy in the policy triggering microservice, thereby achieving the effect of dynamically configuring the control policy.
Optionally, under the condition that the data volume is small or the real-time requirement is high, the device data is directly processed locally at the edge node; if the data volume is large (exceeding the local processing capacity), the real-time performance is low or the historical data of the equipment is obtained, the data are transmitted to the cloud end to be processed, the historical data of the equipment are analyzed at the cloud end, and therefore results such as a historical data curve and parameter optimization are returned.
Fig. 1 is a structural diagram of a configuration micro-service between heterogeneous network devices according to the present invention, and it can be seen from the structural diagram that the whole configuration service flow between the devices is modularized and is changed into a combination of micro-service modules, and the micro-service modules communicate with each other using a RESTful API interface. In order to facilitate understanding, in the structure diagram, according to the functions of each micro service module, the micro service modules are roughly classified into a protocol adaptation layer, a unified configuration layer, a data storage layer, a policy execution layer, a policy and alarm layer and a message distribution layer, but the micro service modules are flattened and do not have a strict sequence.
Fig. 2 is a flowchart illustrating the establishment of a configuration service between heterogeneous network devices according to the present invention, which includes the following steps:
201: the device characteristic information is transmitted to the device metadata microservice, device registration is carried out, and a unique device ID associated with the device registration is generated;
202: the data persistence micro-service stores the equipment information, processes and persistently stores the received data in real time, and provides a unique data access port for other micro-services;
203: the message publishing micro-service acquires data through the message queue, and determines whether the data is processed locally or uploaded to the cloud end for storage and analysis according to the configured control strategy;
204: strategy triggering micro service real-time monitoring data, if a preset strategy control condition is reached, triggering a corresponding command to be sent out, and further starting the establishment of the configuration service among the devices, otherwise, continuing to monitor the data;
205: the message issuing micro-service judges the received message, if the received message is abnormal, an alarm and a notification micro-service are triggered, so that the message issuing micro-service returns an abnormal message for notification, otherwise, the command operation micro-service makes a corresponding action according to the received command;
206: searching whether a given equipment ID exists in the data persistence micro-service, if not, returning a message that the equipment does not exist, otherwise, returning related information of the equipment;
207: the command operation micro service sends the command to be executed to the equipment protocol adaptation micro service, the protocol adaptation micro service converts the command into a communication protocol format used by corresponding equipment, and then the equipment is driven to execute corresponding actions, and the establishment of the configuration service among the equipment is completed.
FIG. 3 is a timing diagram illustrating the execution of a PUT command push message by the command operations microserver. The method comprises the following specific steps:
301: the micro service module client sends a command to be executed and the equipment ID to a command operation micro service through a PUT command;
302: the command operation micro service searches the ID information of the equipment by using a GET command, and if the ID information does not exist, returns an equipment ID nonexistence message;
303: the command operation micro service acquires command information to be executed through a GET command, and if the command is not identified, returns an execution command unidentified message;
304: the command operation micro service uses PUT command to send command to be executed and equipment ID information to the equipment protocol adaptation micro service;
305: the protocol adaptation layer adapts the microservice driving device to execute corresponding commands through corresponding protocols.
Fig. 4 is a timing diagram of dynamic configuration of a policy control file in a policy triggered microservice, which includes the following steps:
401: the strategy control editor sends the detailed requirements of the control strategy to be edited to the strategy file generation service through a POST command;
402: the strategy file generation service generates a strategy control file with a uniform format and returns a strategy control file generation confirmation message;
403: writing the strategy control file into a strategy file system and storing the strategy control file;
404: and loading the policy control file into a policy execution service for waiting for execution, and if the loading is successful, returning a message of successful loading.
Fig. 5 is an explanatory diagram of a data format of the unified conversion of the devices in the method, specifically explaining as follows:
fig. 5 is an explanatory diagram of a unified data structure converted from a protocol adaptation layer in the method, and a data structure model in the method is mainly divided into three major modules, namely, a device basic information module, a device resources module, and a Commands module. The basic information module of the equipment is a simple general description of a type of equipment, and comprises the name, model, label, description and the like of the equipment; the equipment resource information module is a detailed description of equipment resources and comprises a plurality of equipment resources, and each equipment resource comprises an equipment resource name, a resource description, a resource characteristic, a resource attribute, a corresponding resource value and the like; the device command module is a command set executed or issued by a plurality of devices, and each command mainly comprises a command name, a command path, a response and the like.
According to the method, an edge calculation model and a micro-service design mode are introduced into the services such as the building of the configuration service and the process control of the heterogeneous industrial network equipment, and according to different conditions of received data, the data can be directly processed locally, and can also be stored and analyzed in a cloud center, so that the hierarchical processing of real-time data and the storage of historical data are realized. By using the data processing method, the consumption of bandwidth resources can be effectively reduced, and the response time is shortened. By adopting the method, the difficulty of communication between heterogeneous devices is reduced, the efficiency of establishing the configuration service between the heterogeneous devices is improved, and the method can be effectively applied to the configuration service between the heterogeneous devices of different operation platforms.
Finally, it is noted that the above-mentioned preferred embodiments illustrate rather than limit the invention, and that, although the invention has been described in detail with reference to the above-mentioned preferred embodiments, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the scope of the invention as defined by the appended claims.
Claims (5)
1. A heterogeneous industrial network device configuration micro-service method based on edge computing is characterized in that: the method comprises the following steps:
s1: converting data transmitted by the equipment into an internal uniform data format through a corresponding protocol adaptation microservice in a protocol adaptation layer;
s2: the equipment metadata micro service acquires equipment information from the corresponding protocol adaptation micro service, registers the equipment in the equipment metadata micro service and generates a unique equipment ID;
s3: the data persistence micro-service stores the equipment information, processes and persistently stores the received data in real time, and provides a unique data access port for other micro-services;
s4: the strategy triggering micro-service determines whether the data is directly processed locally or transmitted to a cloud terminal for processing through a message distribution layer according to a pre-configured control strategy;
s5: the cloud end stores and analyzes the historical data of the equipment, returns results which comprise historical data curves, control strategies and parameter optimization, and returns processing results to corresponding micro-services through the message distribution layer;
s6: the strategy triggering micro-service monitors the equipment data in real time by subscribing the information of the corresponding micro-service, if the requirement of the pre-configured control strategy is met, the corresponding action is triggered, a command is sent to the command micro-service, and then the establishment of the configuration service among the equipment is started, otherwise, the data is continuously monitored, and the strategy control micro-service configures the control strategy in the strategy triggering micro-service and takes effect immediately;
s7: the message issuing micro-service judges the received message, if the received message is abnormal, an alarm and a notification micro-service are triggered, so that the message issuing micro-service returns an abnormal message for notification, otherwise, the command operation micro-service makes a corresponding action according to the received command;
s8: the command operation micro service searches whether the given equipment information exists in the data persistence micro service, if not, the information that the equipment does not exist is returned, otherwise, the equipment ID is returned;
s9: the command operation micro service sends a command to be executed to a protocol adaptation layer, converts the command into a communication data format used by corresponding equipment, further drives the equipment to execute corresponding actions, and completes the establishment of the configuration service among the equipment;
the micro-service module configures micro-services to monitor the running state of each micro-service module in real time through a mechanism similar to heartbeat detection, and manages the registration and the uninstallation of the micro-service modules.
2. The heterogeneous industrial network device configuration micro-service method based on edge computing of claim 1, wherein: the protocol adaptation layer adapts devices with different communication protocols, one protocol adaptation micro-service corresponds to a device with a communication protocol type, key information in transmission data is acquired, and the key information comprises device types, data values acquired by sensors and actuator actions, and the key information is recombined into a new JSON-like data format to be used in a unified mode.
3. The heterogeneous industrial network device configuration micro-service method based on edge computing of claim 1, wherein: the strategy triggering micro-service monitors the equipment data in real time by subscribing the information of the corresponding micro-service, if the requirement of the pre-configured control strategy is met, the strategy triggering micro-service triggers the corresponding action and sends a command to the command micro-service so as to start the establishment of the configuration service among the equipment, otherwise, the strategy triggering micro-service continues to monitor the data.
4. The heterogeneous industrial network device configuration micro-service method based on edge computing of claim 1, wherein: the strategy control micro-service pushes the control strategy generated by the strategy control editor through the message publishing micro-service and executes the strategy control micro-service in the strategy triggering micro-service, thereby achieving the effect of dynamically configuring the control strategy.
5. The heterogeneous industrial network device configuration micro-service method based on edge computing of claim 1, wherein: under the condition that the data volume does not exceed the local processing capacity or the real-time requirement exists, the equipment data is directly processed locally at the edge node; if the data volume is large enough to exceed the local processing capacity, or no real-time requirement exists, or the data type is the historical data of the equipment, the data is transmitted to a cloud end for processing, and the historical data of the equipment is analyzed at the cloud end, so that a historical data curve and a parameter optimization result are returned.
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